Triple
T7080848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perpignan |
E164948
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object | USA Perpignan |
E419745
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: USA Perpignan | Statement: [Perpignan, hasSportsTeam, USA Perpignan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USA Perpignan Context triple: [Perpignan, hasSportsTeam, USA Perpignan]
-
A.
USA Perpignan
chosen
USA Perpignan is a French professional rugby union club based in Perpignan, known for its passionate Catalan identity and history in the country’s top domestic competitions.
-
B.
Pueblo Francés
Pueblo Francés is a French-themed area within the Six Flags México amusement park, featuring attractions, architecture, and entertainment inspired by French culture.
-
C.
Espanola
Española is a small city in northern New Mexico known for its location in the Rio Grande Valley and its blend of Hispanic and Native American cultural heritage.
-
D.
Espanola
Espanola is a small town in Northern Ontario, Canada, known historically for its pulp and paper industry and its location near the North Channel of Lake Huron.
-
E.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f1f5748190b214856bcfc70d81 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79477a79c81909b51175a24d17142 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:40 p.m.